Items related to XploRe Learning Guide
Synopsis
It is generally accepted that training in statistics must include some exposure to the mechanics of computational statistics. This learning guide is intended for beginners in computer-aided statistical data analysis. The prerequisites for XploRe - the statistical computing environment - are an introductory course in statistics or mathematics. The reader of this book should be familiar with basic elements of matrix algebra and the use of HTML browsers. This guide is designed to help students to XploRe their data, to learn (via data interaction) about statistical methods and to disseminate their findings via the HTML outlet. The XploRe APSS (Auto Pilot Support System) is a powerful tool for finding the appropriate statistical technique (quantlet) for the data under analysis. Homogeneous quantlets are combined in XploRe into quantlibs. The XploRe language is intuitive and users with prior experience of other sta tistical programs will find it easy to reproduce the examples explained in this guide. The quantlets in this guide are available on the CD-ROM as well as on the Internet. The statistical operations that the student is guided into range from basic one-dimensional data analysis to more complicated tasks such as time series analysis, multivariate graphics construction, microeconometrics, panel data analysis, etc. The guide starts with a simple data analysis of pullover sales data, then in troduces graphics. The graphics are interactive and cover a wide range of dis plays of statistical data.
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Review
From the reviews:
"XploRe is a statistical package with an econometric focus. ... XploRe is an excellent tool for those who wish to engage in some fairly sophisticated econometric analysis. It is also an excellent environment to teach budding statisticians. ... I also believe that serious researchers in the area will find the professional package to be a very useful analytic tool." (Joseph Hilbe, The American Statistician, Vol. 55 (2), May 2001)
"XploRe Learning Guide and the accompanying CD are intended for beginners in computer-aided statistical data analysis. The guide contains 17 Chapters and an Appendix." (Shibdas Bandyopadhyay, Sankhya, Vol. 64 B, Part 3, 2002)
"About this title" may belong to another edition of this title.
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XploRe - Learning Guide
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Springer Berlin Heidelberg, 1999
ISBN 10: 3540662073
ISBN 13: 9783540662075
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The comprehensive guide to XploReXploRe is a highly interactive statistical computer environment - special focus on financial applicationsIt is generally accepted that training in statistics must include some exposure to the mechanics of computation. Seller Inventory # 4897576
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Xplore-Learning Guide: Learning Guide
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XploRe - Learning Guide : Learning Guide
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - It is generally accepted that training in statistics must include some exposure to the mechanics of computational statistics. This learning guide is intended for beginners in computer-aided statistical data analysis. The prerequisites for XploRe - the statistical computing environment - are an introductory course in statistics or mathematics. The reader of this book should be familiar with basic elements of matrix algebra and the use of HTML browsers. This guide is designed to help students to XploRe their data, to learn (via data interaction) about statistical methods and to disseminate their findings via the HTML outlet. The XploRe APSS (Auto Pilot Support System) is a powerful tool for finding the appropriate statistical technique (quantlet) for the data under analysis. Homogeneous quantlets are combined in XploRe into quantlibs. The XploRe language is intuitive and users with prior experience of other sta tistical programs will find it easy to reproduce the examples explained in this guide. The quantlets in this guide are available on the CD-ROM as well as on the Internet. The statistical operations that the student is guided into range from basic one-dimensional data analysis to more complicated tasks such as time series analysis, multivariate graphics construction, microeconometrics, panel data analysis, etc. The guide starts with a simple data analysis of pullover sales data, then in troduces graphics. The graphics are interactive and cover a wide range of dis plays of statistical data. Seller Inventory # 9783540662075
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